Publications

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Biomedical knowledge repository
S. S. Sahoo, Bodenreider, O., Hitzler, P., Sheth, A., and Thirunarayan, K., “Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data”, in Scientific and Statistical Database Management, 22nd International Conference, SSDBM 2010, Heidelberg, Germany, 2010, vol. 6187, pp. 461–470.PDF icon PaCE-SSDBM2010.pdf (810.08 KB)
bottom-up parsing
S. Salam Aonty, Deb, K., Sarma, M. Sen, Dhar, P. Kumar, and Shimamura, T., “Multi-Person Pose Estimation Using Group-Based Convolutional Neural Network Model”, IEEE Access, vol. 11, pp. 42343-42360, 2023.
circumscription
A. Krisnadhi, Sengupta, K., and Hitzler, P., “Local Closed World Semantics: Keep it simple, stupid!”, in Proceedings of the 24th International Workshop on Description Logics (DL 2011), Barcelona, Spain, July 13-16, 2011, 2011, vol. 745.
Classification
R. Mutharaju, Hitzler, P., and Mateti, P., “DistEL: A Distributed EL+ Ontology Classifier”, in Proceedings of the 9th International Workshop on Scalable Semantic Web Knowledge Base Systems, co-located with the International Semantic Web Conference (ISWC 2013), Sydney, Australia, 2013, vol. 1046, pp. 17-32.PDF icon SSWS2013_paper2.pdf (436.4 KB)
closed world
A. Krisnadhi, Sengupta, K., and Hitzler, P., “Local Closed World Semantics: Keep it simple, stupid!”, in Proceedings of the 24th International Workshop on Description Logics (DL 2011), Barcelona, Spain, July 13-16, 2011, 2011, vol. 745.
CNN
A. Dalal, Rayan, R., Barua, A., Vasserman, E. Y., Sarker, K., and Hitzler, P., “On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis”, in 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, 2024.PDF icon 2024_NeSy_CI.pdf (358.13 KB)
A. Dalal, Rayan, R., and Hitzler, P., “Error-margin Analysis for Hidden Neuron Activation Labels”, 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024. Springer , 2024.PDF icon 2024_NeSy_CI_shortPaper.pdf (245.56 KB)
Complexity
F. Maier, Ma, Y., and Hitzler, P., “Paraconsistent OWL and Related Logics”, Semantic Web, vol. 4, pp. 395–427, 2013.PDF icon paraOWL-2013.pdf (698.73 KB)
computational complexity
M. Krötzsch, Rudolph, S., and Hitzler, P., “Complexities of Horn Description Logics”, ACM Trans. Comput. Log., vol. 14, p. 2, 2013.PDF icon Hitzler-HornDLs-2013.pdf (764.32 KB)
Y. Ma, Qi, G., Xiao, G., Hitzler, P., and Lin, Z., “Computational Complexity and Anytime Algorithm for Inconsistency Measurement”, International Journal of Software and Informatics, vol. 4, pp. 3–21, 2010.PDF icon CompComplexity-IJSI2010.pdf (478.9 KB)
Computational modeling
A. Mahbub Uddin, Miraj, A. Al, Sarma, M. Sen, Das, A., and Gani, M. Manjurul, “Traditional Bengali Food Classification Using Convolutional Neural Network”, in 2021 IEEE Region 10 Symposium (TENSYMP), 2021, pp. 1-8.
Concept Induction
A. Dalal, Rayan, R., Barua, A., Vasserman, E. Y., Sarker, K., and Hitzler, P., “On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis”, in 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, 2024.PDF icon 2024_NeSy_CI.pdf (358.13 KB)
A. Dalal, Rayan, R., and Hitzler, P., “Error-margin Analysis for Hidden Neuron Activation Labels”, 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024. Springer , 2024.PDF icon 2024_NeSy_CI_shortPaper.pdf (245.56 KB)
A. Dalal, “Understanding CNN Hidden Neuron Activations using Concept Induction over Background Knowledge”, THE 23RD INTERNATIONAL SEMANTIC WEB CONFERENCE, ISWC 2024. 2024.PDF icon 2024_ISWC_doctoral.pdf (179.17 KB)
Context theory
S. S. Sahoo, Bodenreider, O., Hitzler, P., Sheth, A., and Thirunarayan, K., “Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data”, in Scientific and Statistical Database Management, 22nd International Conference, SSDBM 2010, Heidelberg, Germany, 2010, vol. 6187, pp. 461–470.PDF icon PaCE-SSDBM2010.pdf (810.08 KB)

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